Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Daniel Preotiuc-Pietro"'
Autor:
Zahra Riahi Samani, Sharath Chandra Guntuku, Mohsen Ebrahimi Moghaddam, Daniel Preoţiuc-Pietro, Lyle H Ungar
Publikováno v:
PLoS ONE, Vol 13, Iss 7, p e0198660 (2018)
Assessing the predictive value of different social media platforms is important to understand the variation in how users reveal themselves across multiple platforms. Most social media platforms allow users to interact in multiple ways: by posting con
Externí odkaz:
https://doaj.org/article/6e3b28d565c34f229f440563d664aa65
Publikováno v:
PLoS ONE, Vol 10, Iss 9, p e0138717 (2015)
Automatically inferring user demographics from social media posts is useful for both social science research and a range of downstream applications in marketing and politics. We present the first extensive study where user behaviour on Twitter is use
Externí odkaz:
https://doaj.org/article/7ca1c46236294549999ee166396315f4
Autor:
Jordan Carpenter, Daniel Preotiuc-Pietro, Jenna Clark, Lucie Flekova, Laura Smith, Margaret L. Kern, Anneke Buffone, Lyle Ungar, Martin Seligman
Publikováno v:
Judgment and Decision Making, Vol 13, Pp 562-574 (2018)
Online, social media communication is often ambiguous, and it can encourage speed and inattentiveness. We investigated whether Actively Open Minded Thinking (AOT), a dispositional willingness to seek out new or potentially threatening information, ma
Externí odkaz:
https://doaj.org/article/33e8f6039bd2461d95c1f908475e3b1e
Publikováno v:
Proceedings of the International AAAI Conference on Web and Social Media. 10:211-220
The content of images users post to their social media is driven in part by personality. In this study, we analyze how Twitter profile images vary with the personality of the users posting them. In our main analysis, we use profile images from over 6
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::76631b1ea69f8ad0510c89a2da7fd816
https://doi.org/10.1609/icwsm.v10i1.14738
https://doi.org/10.1609/icwsm.v10i1.14738
Publikováno v:
EACL
Identifying named entities in written text is an essential component of the text processing pipeline used in applications such as text editors to gain a better understanding of the semantics of the text. However, the typical experimental setup for ev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a8dd1d2f3a286923e28c959e5baa5d51
https://doi.org/10.18653/v1/2021.eacl-main.84
https://doi.org/10.18653/v1/2021.eacl-main.84
Publikováno v:
COLING
A 2018 study led by the Media Insight Project showed that most journalists think that a clearmarking of what is news reporting and what is commentary or opinion (e.g., editorial, op-ed)is essential for gaining public trust. We present an approach to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5073c20374d06634550adf30c5febf18
https://doi.org/10.18653/v1/2020.coling-main.540
https://doi.org/10.18653/v1/2020.coling-main.540
Publikováno v:
ACL
Named entity recognition is a key component of many text processing pipelines and it is thus essential for this component to be robust to different types of input. However, domain transfer of NER models with data from multiple genres has not been wid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::151ef6d0153888cc1bd362850f9d7029
https://doi.org/10.18653/v1/2020.acl-main.750
https://doi.org/10.18653/v1/2020.acl-main.750
Publikováno v:
ACL
Natural language processing models often have to make predictions on text data that evolves over time as a result of changes in language use or the information described in the text. However, evaluation results on existing data sets are seldom report
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3af77ba6f3cfe4c9b1274142958ac681
https://doi.org/10.18653/v1/2020.acl-main.680
https://doi.org/10.18653/v1/2020.acl-main.680
Publikováno v:
Anthrozoös. 30:671-680
Animal preferences are thought to be linked with more salient psychological traits of people, and most research examining owner personality as a differentiating factor has obtained mixed results. The rise in usage of social networks offers users a ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f8408483584b99c1346dd145d268cb29
https://doi.org/10.1080/08927936.2017.1370235
https://doi.org/10.1080/08927936.2017.1370235
Autor:
Jordan Carpenter, Margaret L. Kern, Anneke Buffone, Daniel Preotiuc-Pietro, Lyle H. Ungar, Salvatore Giorgi, Martin E. P. Seligman, Lucie Flekova, Courtney A. Hagan
Publikováno v:
Social Psychological and Personality Science. 8:310-322
People associate certain behaviors with certain social groups. These stereotypical beliefs consist of both accurate and inaccurate associations. Using large-scale, data-driven methods with social media as a context, we isolate stereotypes by using ve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::580ed9e082eac56afabc0ef8dfaec92e
https://doi.org/10.1177/1948550616671998
https://doi.org/10.1177/1948550616671998